Gerschgorin disk-based robust spectrum sensing for cognitive radio

Spectrum sensing is a fundamental problem in cognitive radio. In this paper, we introduce two spectrum sensing methods based on Gerschgorin disk. The Gerschgorin radii contain the information of signal subspace, whereas the Gerschgorin centers capture the signal energy. The first proposal only relies on the Gerschgorin radii and thereby is robust against nonuniform noise. The second one, utilizing both the Ger-schgorin radii and centers, can significantly improve the detection performance. Simulation results are included to illustrate the superiority of the proposed methods.

[1]  Lei Huang,et al.  Source Enumeration for High-Resolution Array Processing Using Improved Gerschgorin Radii Without Eigendecomposition , 2008, IEEE Transactions on Signal Processing.

[2]  Yonghong Zeng,et al.  Maximum-Minimum Eigenvalue Detection for Cognitive Radio , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[3]  Ning Han,et al.  Spectral correlation based signal detection method for spectrum sensing in IEEE 802.22 WRAN systems , 2006, 2006 8th International Conference Advanced Communication Technology.

[4]  W. Gardner.  Exploitation of spectral redundancy in cyclostationary signals , 1991, IEEE Signal Processing Magazine.

[5]  J. I. Mararm,et al.  Energy Detection of Unknown Deterministic Signals , 2022 .

[6]  Yonghong Zeng,et al.  Eigenvalue-based spectrum sensing algorithms for cognitive radio , 2008, IEEE Transactions on Communications.

[7]  Hsien-Tsai Wu,et al.  Source number estimators using transformed Gerschgorin radii , 1995, IEEE Trans. Signal Process..

[8]  Yonghong Zeng,et al.  Maximum Eigenvalue Detection: Theory and Application , 2008, 2008 IEEE International Conference on Communications.

[9]  H. Vincent Poor,et al.  Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks , 2008, IEEE Transactions on Signal Processing.

[10]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[11]  David G. Daut,et al.  Signature Based Spectrum Sensing Algorithms for IEEE 802.22 WRAN , 2007, 2007 IEEE International Conference on Communications.

[12]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[13]  Yonghong Zeng,et al.  Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach , 2010, IEEE Transactions on Communications.

[14]  Lei Huang,et al.  Volume-based method for spectrum sensing , 2014, Digit. Signal Process..